Impact of cropping system diversification on productivity and resource use efficiencies of smallholder farmers in south-central Bangladesh: a multi-criteria analysis View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2022-08-05

AUTHORS

Shah-Al Emran, Timothy J. Krupnik, Sreejith Aravindakshan, Virender Kumar, Cameron M. Pittelkow

ABSTRACT

Diversification of smallholder rice-based cropping systems has the potential to increase cropping system intensity and boost food security. However, impacts on resource use efficiencies (e.g., nutrients, energy, and labor) remain poorly understood, highlighting the need to quantify synergies and trade-offs among different sustainability indicators under on-farm conditions. In southern coastal Bangladesh, aman season rice is characterized by low inputs and low productivity. We evaluated the farm-level impacts of cropping system intensification (adding irrigated boro season rice) and diversification (adding chili, groundnut, mungbean, or lathyrus) on seven performance indicators (rice equivalent yield, energy efficiency, partial nitrogen productivity, partial potassium productivity, partial greenhouse gas footprint, benefit-cost ratio, and hired labor energy productivity) based on a comprehensive survey of 501 households. Indicators were combined into a multi-criteria performance index, and their scope for improvement was calculated by comparing an individual farmer’s performance to top-performing farmers (highest 20%). Results indicate that the baseline system (single-crop aman season rice) was the least productive, while double cropped systems increased rice equivalent yield 72–217%. Despite gains in productivity, higher cropping intensity reduced resource use efficiencies due to higher inputs of fertilizer and energy, which also increased production costs, particularly for boro season rice. However, trade-offs were smaller for diversified systems including legumes, largely owing to lower N fertilizer inputs. Aman season rice had the highest multi-criteria performance index, followed by systems with mungbean and lathyrus, indicating the latter are promising options to boost food production and profitability without compromising sustainability. Large gaps between individual and top-performing farmers existed for each indicator, suggesting significant scope for improvement. By targeting indicators contributing most to the multi-criteria performance index (partial nitrogen productivity, energy efficiency, hired labor energy productivity), results suggest further sustainability gains can be achieved through future field research studies focused on optimizing management within diversified systems. More... »

PAGES

78

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s13593-022-00795-3

DOI

http://dx.doi.org/10.1007/s13593-022-00795-3

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1150025530

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/35945988


Indexing Status Check whether this publication has been indexed by Scopus and Web Of Science using the SN Indexing Status Tool
Incoming Citations Browse incoming citations for this publication using opencitations.net

JSON-LD is the canonical representation for SciGraph data.

TIP: You can open this SciGraph record using an external JSON-LD service: JSON-LD Playground Google SDTT

[
  {
    "@context": "https://springernature.github.io/scigraph/jsonld/sgcontext.json", 
    "about": [
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/07", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Agricultural and Veterinary Sciences", 
        "type": "DefinedTerm"
      }, 
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/0703", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Crop and Pasture Production", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "Sustainable Impact Platform, International Rice Research Institute (IRRI), Los Ba\u00f1os, Laguna, Philippines", 
          "id": "http://www.grid.ac/institutes/grid.419387.0", 
          "name": [
            "Department of Crop Sciences, University of Illinois at Urbana-Champaign, Urbana, IL, USA", 
            "Sustainable Impact Platform, International Rice Research Institute (IRRI), Los Ba\u00f1os, Laguna, Philippines"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Emran", 
        "givenName": "Shah-Al", 
        "id": "sg:person.014627131670.96", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014627131670.96"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "International Maize and Wheat improvement Center (CIMMYT), Sustainable Intensification Program, House 10/B, Road 53, Gulshan-2, Dhaka, Bangladesh", 
          "id": "http://www.grid.ac/institutes/grid.512606.6", 
          "name": [
            "International Maize and Wheat improvement Center (CIMMYT), Sustainable Intensification Program, House 10/B, Road 53, Gulshan-2, Dhaka, Bangladesh"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Krupnik", 
        "givenName": "Timothy J.", 
        "id": "sg:person.016260102731.15", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.016260102731.15"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Arunachal University of Studies (AUS), Knowledge City, NH52, 792103, Namsai, Arunachal Pradesh, India", 
          "id": "http://www.grid.ac/institutes/None", 
          "name": [
            "International Maize and Wheat improvement Center (CIMMYT), Sustainable Intensification Program, House 10/B, Road 53, Gulshan-2, Dhaka, Bangladesh", 
            "Arunachal University of Studies (AUS), Knowledge City, NH52, 792103, Namsai, Arunachal Pradesh, India"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Aravindakshan", 
        "givenName": "Sreejith", 
        "id": "sg:person.016373001635.30", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.016373001635.30"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Sustainable Impact Platform, International Rice Research Institute (IRRI), Los Ba\u00f1os, Laguna, Philippines", 
          "id": "http://www.grid.ac/institutes/grid.419387.0", 
          "name": [
            "Sustainable Impact Platform, International Rice Research Institute (IRRI), Los Ba\u00f1os, Laguna, Philippines"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Kumar", 
        "givenName": "Virender", 
        "id": "sg:person.01242715644.17", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01242715644.17"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Department of Plant Sciences, University of California, Davis, CA, USA", 
          "id": "http://www.grid.ac/institutes/grid.27860.3b", 
          "name": [
            "Department of Crop Sciences, University of Illinois at Urbana-Champaign, Urbana, IL, USA", 
            "Department of Plant Sciences, University of California, Davis, CA, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Pittelkow", 
        "givenName": "Cameron M.", 
        "id": "sg:person.016364341553.29", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.016364341553.29"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "sg:pub.10.1038/srep14625", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1013196401", 
          "https://doi.org/10.1038/srep14625"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nature01014", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1007758202", 
          "https://doi.org/10.1038/nature01014"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nature10452", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1025472352", 
          "https://doi.org/10.1038/nature10452"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/s41586-018-0594-0", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1107496055", 
          "https://doi.org/10.1038/s41586-018-0594-0"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s13593-020-00617-4", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1126825991", 
          "https://doi.org/10.1007/s13593-020-00617-4"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2022-08-05", 
    "datePublishedReg": "2022-08-05", 
    "description": "Diversification of smallholder rice-based cropping systems has the potential to increase cropping system intensity and boost food security. However, impacts on resource use efficiencies (e.g., nutrients, energy, and labor) remain poorly understood, highlighting the need to quantify synergies and trade-offs among different sustainability indicators under on-farm conditions. In southern coastal Bangladesh, aman season rice is characterized by low inputs and low productivity. We evaluated the farm-level impacts of cropping system intensification (adding irrigated boro season rice) and diversification (adding chili, groundnut, mungbean, or lathyrus) on seven performance indicators (rice equivalent yield, energy efficiency, partial nitrogen productivity, partial potassium productivity, partial greenhouse gas footprint, benefit-cost ratio, and hired labor energy productivity) based on a comprehensive survey of 501 households. Indicators were combined into a multi-criteria performance index, and their scope for improvement was calculated by comparing an individual farmer\u2019s performance to top-performing farmers (highest 20%). Results indicate that the baseline system (single-crop aman season rice) was the least productive, while double cropped systems increased rice equivalent yield 72\u2013217%. Despite gains in productivity, higher cropping intensity reduced resource use efficiencies due to higher inputs of fertilizer and energy, which also increased production costs, particularly for boro season rice. However, trade-offs were smaller for diversified systems including legumes, largely owing to lower N fertilizer inputs. Aman season rice had the highest multi-criteria performance index, followed by systems with mungbean and lathyrus, indicating the latter are promising options to boost food production and profitability without compromising sustainability. Large gaps between individual and top-performing farmers existed for each indicator, suggesting significant scope for improvement. By targeting indicators contributing most to the multi-criteria performance index (partial nitrogen productivity, energy efficiency, hired labor energy productivity), results suggest further sustainability gains can be achieved through future field research studies focused on optimizing management within diversified systems.", 
    "genre": "article", 
    "id": "sg:pub.10.1007/s13593-022-00795-3", 
    "isAccessibleForFree": true, 
    "isPartOf": [
      {
        "id": "sg:journal.1430196", 
        "issn": [
          "1774-0746", 
          "1773-0155"
        ], 
        "name": "Agronomy for Sustainable Development", 
        "publisher": "Springer Nature", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "4", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "42"
      }
    ], 
    "keywords": [
      "resource use efficiency", 
      "season rice", 
      "use efficiency", 
      "diversified system", 
      "rice-based cropping systems", 
      "double\u2010cropped system", 
      "N fertilizer input", 
      "farm-level impacts", 
      "different sustainability indicators", 
      "cropping systems", 
      "system diversification", 
      "system intensification", 
      "fertilizer inputs", 
      "farmers' performance", 
      "cropped systems", 
      "smallholder farmers", 
      "south-central Bangladesh", 
      "low input", 
      "farm conditions", 
      "food security", 
      "food production", 
      "high input", 
      "field research study", 
      "system intensity", 
      "low productivity", 
      "farmers", 
      "sustainability indicators", 
      "rice", 
      "coastal Bangladesh", 
      "production costs", 
      "productivity", 
      "sustainability gains", 
      "multi-criteria analysis", 
      "significant scope", 
      "diversification", 
      "promising option", 
      "Bangladesh", 
      "mungbean", 
      "fertilizer", 
      "legumes", 
      "large gap", 
      "Lathyrus", 
      "profitability", 
      "input", 
      "intensification", 
      "sustainability", 
      "indicators", 
      "production", 
      "impact", 
      "efficiency", 
      "index", 
      "gain", 
      "households", 
      "management", 
      "security", 
      "performance index", 
      "improvement", 
      "performance indicators", 
      "potential", 
      "intensity", 
      "options", 
      "system", 
      "conditions", 
      "cost", 
      "comprehensive survey", 
      "need", 
      "survey", 
      "scope", 
      "synergy", 
      "results", 
      "research studies", 
      "study", 
      "performance", 
      "gap", 
      "baseline system", 
      "analysis", 
      "energy"
    ], 
    "name": "Impact of cropping system diversification on productivity and resource use efficiencies of smallholder farmers in south-central Bangladesh: a multi-criteria analysis", 
    "pagination": "78", 
    "productId": [
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1150025530"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/s13593-022-00795-3"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "35945988"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1007/s13593-022-00795-3", 
      "https://app.dimensions.ai/details/publication/pub.1150025530"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2022-11-24T21:09", 
    "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
    "sdPublisher": {
      "name": "Springer Nature - SN SciGraph project", 
      "type": "Organization"
    }, 
    "sdSource": "s3://com-springernature-scigraph/baseset/20221124/entities/gbq_results/article/article_918.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "https://doi.org/10.1007/s13593-022-00795-3"
  }
]
 

Download the RDF metadata as:  json-ld nt turtle xml License info

HOW TO GET THIS DATA PROGRAMMATICALLY:

JSON-LD is a popular format for linked data which is fully compatible with JSON.

curl -H 'Accept: application/ld+json' 'https://scigraph.springernature.com/pub.10.1007/s13593-022-00795-3'

N-Triples is a line-based linked data format ideal for batch operations.

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1007/s13593-022-00795-3'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s13593-022-00795-3'

RDF/XML is a standard XML format for linked data.

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s13593-022-00795-3'


 

This table displays all metadata directly associated to this object as RDF triples.

198 TRIPLES      21 PREDICATES      107 URIs      94 LITERALS      7 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/s13593-022-00795-3 schema:about anzsrc-for:07
2 anzsrc-for:0703
3 schema:author Na3c388f35f71440e95d81e9689a087a4
4 schema:citation sg:pub.10.1007/s13593-020-00617-4
5 sg:pub.10.1038/nature01014
6 sg:pub.10.1038/nature10452
7 sg:pub.10.1038/s41586-018-0594-0
8 sg:pub.10.1038/srep14625
9 schema:datePublished 2022-08-05
10 schema:datePublishedReg 2022-08-05
11 schema:description Diversification of smallholder rice-based cropping systems has the potential to increase cropping system intensity and boost food security. However, impacts on resource use efficiencies (e.g., nutrients, energy, and labor) remain poorly understood, highlighting the need to quantify synergies and trade-offs among different sustainability indicators under on-farm conditions. In southern coastal Bangladesh, aman season rice is characterized by low inputs and low productivity. We evaluated the farm-level impacts of cropping system intensification (adding irrigated boro season rice) and diversification (adding chili, groundnut, mungbean, or lathyrus) on seven performance indicators (rice equivalent yield, energy efficiency, partial nitrogen productivity, partial potassium productivity, partial greenhouse gas footprint, benefit-cost ratio, and hired labor energy productivity) based on a comprehensive survey of 501 households. Indicators were combined into a multi-criteria performance index, and their scope for improvement was calculated by comparing an individual farmer’s performance to top-performing farmers (highest 20%). Results indicate that the baseline system (single-crop aman season rice) was the least productive, while double cropped systems increased rice equivalent yield 72–217%. Despite gains in productivity, higher cropping intensity reduced resource use efficiencies due to higher inputs of fertilizer and energy, which also increased production costs, particularly for boro season rice. However, trade-offs were smaller for diversified systems including legumes, largely owing to lower N fertilizer inputs. Aman season rice had the highest multi-criteria performance index, followed by systems with mungbean and lathyrus, indicating the latter are promising options to boost food production and profitability without compromising sustainability. Large gaps between individual and top-performing farmers existed for each indicator, suggesting significant scope for improvement. By targeting indicators contributing most to the multi-criteria performance index (partial nitrogen productivity, energy efficiency, hired labor energy productivity), results suggest further sustainability gains can be achieved through future field research studies focused on optimizing management within diversified systems.
12 schema:genre article
13 schema:isAccessibleForFree true
14 schema:isPartOf N18450764bcdb4bda96e7f15ae4824874
15 N6aa0772b4d2f47668eaa0680a79530fe
16 sg:journal.1430196
17 schema:keywords Bangladesh
18 Lathyrus
19 N fertilizer input
20 analysis
21 baseline system
22 coastal Bangladesh
23 comprehensive survey
24 conditions
25 cost
26 cropped systems
27 cropping systems
28 different sustainability indicators
29 diversification
30 diversified system
31 double‐cropped system
32 efficiency
33 energy
34 farm conditions
35 farm-level impacts
36 farmers
37 farmers' performance
38 fertilizer
39 fertilizer inputs
40 field research study
41 food production
42 food security
43 gain
44 gap
45 high input
46 households
47 impact
48 improvement
49 index
50 indicators
51 input
52 intensification
53 intensity
54 large gap
55 legumes
56 low input
57 low productivity
58 management
59 multi-criteria analysis
60 mungbean
61 need
62 options
63 performance
64 performance index
65 performance indicators
66 potential
67 production
68 production costs
69 productivity
70 profitability
71 promising option
72 research studies
73 resource use efficiency
74 results
75 rice
76 rice-based cropping systems
77 scope
78 season rice
79 security
80 significant scope
81 smallholder farmers
82 south-central Bangladesh
83 study
84 survey
85 sustainability
86 sustainability gains
87 sustainability indicators
88 synergy
89 system
90 system diversification
91 system intensification
92 system intensity
93 use efficiency
94 schema:name Impact of cropping system diversification on productivity and resource use efficiencies of smallholder farmers in south-central Bangladesh: a multi-criteria analysis
95 schema:pagination 78
96 schema:productId N657ee321ba0347959e1ac335080dde8b
97 N9c61baa2e79648019efa07d7a44bfba8
98 Ncec4c0713056439ebcee4af4a81e0263
99 schema:sameAs https://app.dimensions.ai/details/publication/pub.1150025530
100 https://doi.org/10.1007/s13593-022-00795-3
101 schema:sdDatePublished 2022-11-24T21:09
102 schema:sdLicense https://scigraph.springernature.com/explorer/license/
103 schema:sdPublisher Nf6f91b92a89247328cabe2a977ea3cb8
104 schema:url https://doi.org/10.1007/s13593-022-00795-3
105 sgo:license sg:explorer/license/
106 sgo:sdDataset articles
107 rdf:type schema:ScholarlyArticle
108 N18450764bcdb4bda96e7f15ae4824874 schema:volumeNumber 42
109 rdf:type schema:PublicationVolume
110 N3f5250200ea340b793aacf36d1686e64 rdf:first sg:person.01242715644.17
111 rdf:rest Nad52c2c907984efda6f6872187c1ddb6
112 N657ee321ba0347959e1ac335080dde8b schema:name dimensions_id
113 schema:value pub.1150025530
114 rdf:type schema:PropertyValue
115 N6aa0772b4d2f47668eaa0680a79530fe schema:issueNumber 4
116 rdf:type schema:PublicationIssue
117 N7910ebe4ba314df88e13ffff4f412017 rdf:first sg:person.016373001635.30
118 rdf:rest N3f5250200ea340b793aacf36d1686e64
119 N7995b80fba204a8f9e04771cb3ce868e rdf:first sg:person.016260102731.15
120 rdf:rest N7910ebe4ba314df88e13ffff4f412017
121 N9c61baa2e79648019efa07d7a44bfba8 schema:name pubmed_id
122 schema:value 35945988
123 rdf:type schema:PropertyValue
124 Na3c388f35f71440e95d81e9689a087a4 rdf:first sg:person.014627131670.96
125 rdf:rest N7995b80fba204a8f9e04771cb3ce868e
126 Nad52c2c907984efda6f6872187c1ddb6 rdf:first sg:person.016364341553.29
127 rdf:rest rdf:nil
128 Ncec4c0713056439ebcee4af4a81e0263 schema:name doi
129 schema:value 10.1007/s13593-022-00795-3
130 rdf:type schema:PropertyValue
131 Nf6f91b92a89247328cabe2a977ea3cb8 schema:name Springer Nature - SN SciGraph project
132 rdf:type schema:Organization
133 anzsrc-for:07 schema:inDefinedTermSet anzsrc-for:
134 schema:name Agricultural and Veterinary Sciences
135 rdf:type schema:DefinedTerm
136 anzsrc-for:0703 schema:inDefinedTermSet anzsrc-for:
137 schema:name Crop and Pasture Production
138 rdf:type schema:DefinedTerm
139 sg:journal.1430196 schema:issn 1773-0155
140 1774-0746
141 schema:name Agronomy for Sustainable Development
142 schema:publisher Springer Nature
143 rdf:type schema:Periodical
144 sg:person.01242715644.17 schema:affiliation grid-institutes:grid.419387.0
145 schema:familyName Kumar
146 schema:givenName Virender
147 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01242715644.17
148 rdf:type schema:Person
149 sg:person.014627131670.96 schema:affiliation grid-institutes:grid.419387.0
150 schema:familyName Emran
151 schema:givenName Shah-Al
152 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014627131670.96
153 rdf:type schema:Person
154 sg:person.016260102731.15 schema:affiliation grid-institutes:grid.512606.6
155 schema:familyName Krupnik
156 schema:givenName Timothy J.
157 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.016260102731.15
158 rdf:type schema:Person
159 sg:person.016364341553.29 schema:affiliation grid-institutes:grid.27860.3b
160 schema:familyName Pittelkow
161 schema:givenName Cameron M.
162 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.016364341553.29
163 rdf:type schema:Person
164 sg:person.016373001635.30 schema:affiliation grid-institutes:None
165 schema:familyName Aravindakshan
166 schema:givenName Sreejith
167 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.016373001635.30
168 rdf:type schema:Person
169 sg:pub.10.1007/s13593-020-00617-4 schema:sameAs https://app.dimensions.ai/details/publication/pub.1126825991
170 https://doi.org/10.1007/s13593-020-00617-4
171 rdf:type schema:CreativeWork
172 sg:pub.10.1038/nature01014 schema:sameAs https://app.dimensions.ai/details/publication/pub.1007758202
173 https://doi.org/10.1038/nature01014
174 rdf:type schema:CreativeWork
175 sg:pub.10.1038/nature10452 schema:sameAs https://app.dimensions.ai/details/publication/pub.1025472352
176 https://doi.org/10.1038/nature10452
177 rdf:type schema:CreativeWork
178 sg:pub.10.1038/s41586-018-0594-0 schema:sameAs https://app.dimensions.ai/details/publication/pub.1107496055
179 https://doi.org/10.1038/s41586-018-0594-0
180 rdf:type schema:CreativeWork
181 sg:pub.10.1038/srep14625 schema:sameAs https://app.dimensions.ai/details/publication/pub.1013196401
182 https://doi.org/10.1038/srep14625
183 rdf:type schema:CreativeWork
184 grid-institutes:None schema:alternateName Arunachal University of Studies (AUS), Knowledge City, NH52, 792103, Namsai, Arunachal Pradesh, India
185 schema:name Arunachal University of Studies (AUS), Knowledge City, NH52, 792103, Namsai, Arunachal Pradesh, India
186 International Maize and Wheat improvement Center (CIMMYT), Sustainable Intensification Program, House 10/B, Road 53, Gulshan-2, Dhaka, Bangladesh
187 rdf:type schema:Organization
188 grid-institutes:grid.27860.3b schema:alternateName Department of Plant Sciences, University of California, Davis, CA, USA
189 schema:name Department of Crop Sciences, University of Illinois at Urbana-Champaign, Urbana, IL, USA
190 Department of Plant Sciences, University of California, Davis, CA, USA
191 rdf:type schema:Organization
192 grid-institutes:grid.419387.0 schema:alternateName Sustainable Impact Platform, International Rice Research Institute (IRRI), Los Baños, Laguna, Philippines
193 schema:name Department of Crop Sciences, University of Illinois at Urbana-Champaign, Urbana, IL, USA
194 Sustainable Impact Platform, International Rice Research Institute (IRRI), Los Baños, Laguna, Philippines
195 rdf:type schema:Organization
196 grid-institutes:grid.512606.6 schema:alternateName International Maize and Wheat improvement Center (CIMMYT), Sustainable Intensification Program, House 10/B, Road 53, Gulshan-2, Dhaka, Bangladesh
197 schema:name International Maize and Wheat improvement Center (CIMMYT), Sustainable Intensification Program, House 10/B, Road 53, Gulshan-2, Dhaka, Bangladesh
198 rdf:type schema:Organization
 




Preview window. Press ESC to close (or click here)


...